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Seems like he actually disagrees here: If you train a bigger model on more text, we have a lot of confidence that the next-word prediction task will improve. S
by scriptsmith 3y ago
Seems like he actually disagrees here:
If you train a bigger model on more text, we have a lot of confidence that the next-word prediction task will improve. So algorithmic progress is not necessary, it's a very nice bonus, but we can sort of get more powerful models for free, because we can just get a bigger computer, which we can say with some confidence we're going to get, and just train a bigger model for longer, and we are very confident we are going to get a better result.
https://youtu.be/zjkBMFhNj_g?t=1543 https://youtu.be/zjkBMFhNj_g?t=1543 (23:43)
- huijzer 3y agoAnd then at 35 minutes he spends a few minutes talking about ideas for algorithmic improvements.